code: def test_numpy_norm(
      norm_values,
      keepdims,
      frontend,
      test_flags,
      fn_tree,
      backend_fw,
      on_device,
  ):
      dtype, x, axis, ord, check_stable = norm_values
      if check_stable:
          assume(matrix_is_stable(x[0], cond_limit=10))
      helpers.test_frontend_function(
          input_dtypes=dtype,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          x=x[0],
          ord=ord,
          axis=axis,
          keepdims=keepdims,
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_numpy/test_linalg/test_norms_and_other_numbers.py
imports: from hypothesis import strategies, assume
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_functional.test_core.test_linalg import _get_dtype_and_matrix, _matrix_rank_helper
  from ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers import matrix_is_stable
label_desc: Use image node_id 4 for calling a global function with example usage: test_numpy_norm(norm_values, keepdims, frontend, test_flags, fn_tree, backend_fw, on_device) without return types